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- Embedded development: legacy technologies only?
Embedded development is one of the core fields of technological progress. It is projected that the market size of embedded computing around the world will reach more than $85 million by 2030. As of now, embedded systems play a crucial role in differentindustries. Also, they have become widespread globally. Concerning legacy technologies, these are outdated embedded systems in need of modernization. The only way these systems can be updated is through updatingthe embedded development technological stack.However, the question is whether embedded development is essential only for legacy systems and what’s there to expect shortlySencury is here to find an answer! What is Embedded Development? Embedded development is the process of building software and firmware that is backgrounded on embedded systems. The latter are computer systems that carry out device-specific tasks. These embedded systems focus on a certain function, operate in real-time, and have limited resources. Embedded development revolves around creating software customized for the target embedded hardware. It includes both programming and design. The core features of embedded development are: Hardware Understanding The knowledge of the hardware you are working with is as essential as the knowledge of microcontrollers, peripherals, interfaces, and hardware limitations. Programming Languages Embedded development requires C, C++, and related language programming. With C the code interacts directly with hardware. This code is low-level. Real-time perspectives Embedded systems need strict timely responses to external events and embedded developers have to be aware of interrupt handling, task scheduling, and timing analysis to provide real-time responses. Optimization Processing power, memory, and energy might be the resources that embedded systems have a limit for. Therefore, it is up to embedded software engineers to optimize the code and ensure the limits of these resources are met as well as the resources themselves are utilized to the possible maximum. Testing and Debugging Testing your code is one of the essentials during embedded development. Hence, software engineers might need specific toolsets to carry out this mission (debuggers, emulators, and hardware probes). Tools help find and fix problems existing in the embedded system. Integration Embedded systems usually belong to the larger operating systems. That’s why they need to be configured and smoothly integrated into these systems as any minor event can produce unneeded crashes to the whole system. Here, proper communication and interoperability are the core pillars of OS workflow continuity. In 2021, the European Automotive Infotainment market was valued at $5,347.35 million. Today, it is projected to grow to $7,668.59 million, at a CAGR of 6.07%. Embedded Systems Work and Architecture Some say an embedded system is like a mini circuit board including a processor, supply of power, memory, and ports connected to the other components of the larger system for communication purposes. This processor can be a microprocessor or microcontroller. Also, there is a System on Chips (SoCs) that is often used in embedded systems of high volume. SoCs work positively in real-time operating environments due to being fast and adjustable to basic variations. There are five most commonly used architecture types of embedded systems. These are: Simple control loop Cooperative multitasking Interrupt-controlled system Preemptive multitasking or multi-threading Microkernels and exokernels Applications of Embedded Development Some industries and enterprises require an operating system to support their critical workflow. This means that a system is developed and customized for an enterprise. However, technologies change once in several years and the internal system becomes obsolete when the technological timeframe runs out. Businesses that potentially need embedded development include: Consumer Electronics (smartphones, tablets, smart home devices, wearables, and gaming consoles) Automotive (engine control units (ECUs), infotainment systems, advanced driver-assistance systems (ADAS), telematics, and vehicle networking) Industrial Automation (manufacturing, robotics, process control, and monitoring systems) Medical Devices (patient monitoring systems, imaging devices, implantable devices, and diagnostic equipment) Aerospace and Defense (avionics systems, flight control systems, navigation systems, communication systems, and military equipment) Internet of Things (IoT) (smart devices, sensors, gateways, and IoT platforms) Energy and Utilities (smart grid systems, energy management systems, power monitoring devices, and energy consumption optimizers) Telecommunications (network equipment, communication protocols, embedded software for routers, switches, and telecommunication infrastructure) What is Legacy Technology? Legacy technology is the term denoting a whole scope of technologies that became outdated due to the introduction of newer alternatives. In the past, legacy technology was widely used but not today. These technologies might include hardware, software, protocols, programming languages, or even entire systems. To be sure a technology has become a legacy one, consider its: age limited technical support compatibility issues maintenance challenges loss of important data low performance outdatedness higher costs of maintenance Notwithstanding all of these features, legacy technology is still being used. The main reasons for this exploitation are the cost, stability, reliability, and compatibility with existing systems. That’s why organizations choose to use legacy technologies unless they are replaced by compelling alternatives, or unless they will come to an end of their lifecycle. Is Embedded Development only for Legacy Systems? To answer the question of whether embedded development focuses only on legacy technologies, the answer would be rather no. The main reason is the extreme development of embedded systems that are more likely to meet the demands of newer technologies. Therefore, embedded systems adapt to the realities of today. Let’s shed a little more light on it and get to the details. Embedded development belongs to the development of non-common electronic boards and computer systems (non-regular CPUs). Here, it is also important to mention the GPU chips as they also belong to non-CPU development. GP GPU is a general-purpose graphics processing unit. This unit performs calculations that are non-specialized. These calculations are done by the central processing unit (CPU). Therefore, the main task of GPU is graphics rendering. GP GPU is now used to carry out tasks that were previously performed by powerful CPUs. These were physics calculations, encryption, decryption, scientific computations, and cryptocurrency generation as it was with Bitcoin. Graphic cards are built to produce massive parallelism and carry out many parallel tasks at once. Even the best CPU can’t do it. These are the shader cores that can render multiple pixels as well as process multiple streams with data simultaneously. Shader cores have been of great interest and programming languages have been developed to ease GPU computations. Nvidia, which is a giant in GPU development, approach GP GPU with personal APIs, e.g., CUDA, and OpenCL. As we have triggered GPU-relevant programming languages, the question is whether only C and C++ can be used or the ones that are up to date. Well, it is both, but mostly C and C++ are used. These languages have a history of being used for GPU programming and offer low-level control and efficient access to GPU resources. That’s why C and C++ are chosen for performance-critical applications. Other programming languages appear based on CUDA and OpenCL frameworks. The Future of Embedded Systems: What’s Next? Based on the technologies used for embedded systems it is quite unknown what the future holds for us in that direction. However, we are at the point of extreme business automation. Therefore, IoT, data analytics, and AI technologies are being implemented almost everywhere. The ability of embedded systems is limited to producing raw data. So, with the help of AI, IoT, and data analytics, embedded systems can provide valuable insights for future innovations. Sencury, Embedded Development, and Legacy Systems Sencury is a software development provider with many years of experience and key tech knowledge. Therefore, our experts have great skills in embedded system development. Sencury’s team can provide you with numerous software development and consulting services, including embedded solutions. Sencury can help you with: Embedded system design (both hardware and software), e.g., based on AUTOSAR stack Technological discovery to select a proper stack. Particularly, the right approach to parallel computing: MPI, GP GPU, or FPGA types Software development for embedded and GP GPU systems Testing and test automation of embedded systems Release management and configuration control of release embedded software (including OTA updates) If you need an embedded solution, contact us right away, and let’s work on it together!
- Infotainment Trends and Risks
- AI vs ML vs DS
In the last year, there has been a rise in the popularity of Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS). Most companies have even started planning to engage in digital transformation using each of the technologies mentioned. Gartner believes that 91% of businesses are on the verge of implementing a digital initiative, and about 87% of senior business leaders prioritize digitalization as the biggest perspective to grow. AI, ML, and DS are concepts that are closely interconnected, at least at first glance. Therefore, Sencury would like to make these notions a little clearer for you to get the most value from them. What Makes AI, ML, and DS Different? Artificial Intelligence (AI) Artificial Intelligence, or AI for short, is the ability of a machine (computer) to think, learn, and act like a human. Hence, a computer copies human behavior in a way that is smart and intelligent. What is AI Used For? The main use cases of Artificial Intelligence include: Customer experience Supply chain Human resources Fraud detection Knowledge creation Research and development Predictive analytics Real-time operations management Customer services Risk management and analytics Customer insight Pricing and promotion If you choose AI for your business enhancement, you will receive a better customer relationship, cost-effectiveness, increased efficiency with operations, higher security and safety, and focus on new products and services. Read more about AI here: Top Information Technology Trends 2023 Machine Learning (ML) Machine Learning, or ML for short, is the subfield of AI that focuses on giving computers the ability to learn from examples without being previously programmed. What is ML Used For? There are lots of Machine Learning applications. You can train algorithms for: Image recognition Speech recognition Automatic language translation Medical diagnosis Stock market trading Online fraud detection Virtual personal assistant Email spam and malware filtering Self-driving cars Product recommendations Traffic prediction If you choose ML for your business growth, you will receive advancements and continuous improvement, automation of almost everything, identification of trends and patterns per your need, and a wide range of applicability. Data Science (DS) Data Science, or DS for short, is a broad field of disciplines that uses scientific methods, processes, algorithms, and systems to extract all the possible knowledge from data that is structured or unstructured. What is Data Science Used For? Everything that is related to data and data analysis is, in one way or the other, a part of the data science routine. For example, Mathematics Statistical modeling Statistical computing Data technology Data research Data consulting Real-world applications Advanced computing Visualization Hacker mindset Domain expertise Data engineering Applying to DS any business can benefit from the ease of job hunting, product customization, cost and time optimization, and advantages of AI. AI vs ML vs DS: How they Work Together? Data Science uses AI and ML to interpret a type of old data called historical, recognize patterns, and make predictions. Here, AI and ML offer data analysts valuable insights to work with. With the help of ML, Data Science achieves the next level of automation. Moreover, these two cooperate in many ways. For example, Data Science produces statistics. ML is dependent on data as ML algorithms are trained on data to produce better input (predictions). Key Differences in AI, ML, and DS If to visualize AI, ML, and DS in the form of robots, Machine Learning will be the smallest one as it is a subset of AI and a tool for DS. Artificial intelligence will be the middle robot as it includes ML and helps DS analysts with valuable insights. Data Science is the biggest robot, as it leverages AI and ML to produce research, industry expertise, and statistics for better business decisions. Sencury’s Services of AI, ML, and DS Artificial Intelligence and Machine Learning are the future technologies that will shape many industries as well as enhance their business workflows. Sencury's team focuses on AI and ML projects with special attention to customer requirements, reasoning, learning, and goal-oriented outcomes. Together with DS, these technologies allow you to make better decisions and enhance performance optimization. Everything depends on the technology that suits your case best. Each can give you a great headstart for growth. Choose Sencury to become a market leader and essentially grow your business. AI, ML, and DS are the future of technological progress and automation processes.
- AI, Data Science, And Big Data | Sencury: Software Engineering
- DevOps | Sencury
DevOps BUILDING, TESTING, AND DELIVERING SOFTWARE FASTER AND MORE RELIABLY WITH DEVOPS DevOps is a successful combination of cultural philosophies, practices, and tools, with the help of which every organization increases its ability to deliver applications and services at high speed. Hence, the team orchestrates the whole software development lifecycle, where they design, implement, deploy, monitor, fix problems occurring, and update the software. The team’s responsibility includes taking care of the best end-user experience and, at the same time, eliminating production problems. SENCURY can offer our clients continuous integration, continuous delivery, and continuous deployment. We build a culture of shared responsibility, transparency, and faster feedback. Implement DevOps to be extra competitive in the market and provide better services to your customers. WHAT WE OFFER? We provide solutions for different industries. Our expert knowledge allows to provide you with the following services: CLOUD Continuous Interration Automated Deployment Kubernetes / Cluster Management GitOps Well Architected Governance / Policy as a Code AI / ML Ops Serverless / Cloud Native Centralized Logging Automation of Security and Compliance Monitoring and Escalation Landing Zone DevOps Tools We Use: A distributed version control system Git Atlassian Bitbucket GitHub AWS CodeCommit GitLab Continuous integration and delivery tools Jenkins JetBrains TeamCity CloudBees Core Atlassian Bamboo Shippable Concourse CI Containers and orchestration tools Docker The LXC Linux Container Apache Mesos containerd rkt Configuration management Ansible Puppet SaltStack Fabric CA Unified Infrastructure Management JSON and NoSQL as DevOps tools Five popular NoSQL databases include: Apache Cassandra MongoDB Redis Couchbase ArangoDB HOW CAN WE HELP? SENCURY merges both development and operations teams into a team with engineers working together across the entire application lifecycle. Our merged teams use practices to automate processes that initially were manual and slow. To operate applications quickly and reliably, we use top technology stack and tooling. These tools help SENCURY engineers accomplish different tasks on their own without involving other teams. Consider referring to our SENCURY DevOps consulting services to accelerate your software development lifecycle and obtain more efficient development processes. To help you succeed, we provide: STAFFING We offer our engineers to augment your existing team. Also, we tend to guide them on best practices, the latest tools and trends along the development process. HOW DO WE WORK? Implementing DevOps at SENCURY takes several steps. These are: 1 We would like to learn more about your business needs and define your goals. Therefore, as a first step, our team suggests meeting with one of our DevOps consultants. 2 Tell us about your needs, goals and preferences and we will assemble a perfect team for your project. 3 The stage of technical implementation starts when all the key details are provided and understood by both sides. We do our best to implement every recommendation. BENEFITS YOU GET Integrating DevOps into your organization allows to increase efficiency and application building becomes a speedy process. Among the already mentioned advantages, you may also experience: 1 Controlling your budget spendings effectively simultaneously focusing on core business processes and innovations 2 Improving your software delivery processes that promote faster time to market by creating a DevOps assessment roadmap 3 Boosting quick adapting to changes, analytical capabilities, and ensure regulatory compliance by standardizing and industrializing your business processes WHY SENCURY? SENCUR Y's development practices include DevOps practices. We engage in strategic decision-making using a particular approach and build our development strategy on flexibility and mutual success factors. Implementing DevOps with SENCURY will allow: continuous interration increased communications between teams faster time to market of your software rapid improvement based on feedback improvement to software delivery pipeline via builds, validations and deployment less manual work due to automation streamlined development processes increased responsibility and code ownership in development broader roles and skills less downtime DevOps is the key to your success! Contact our qualified team and let’s talk about what we can do to boost your business growth! LINKS ABOUT email@example.com SOCIAL Home Services Cooperation Models Competencies Blog Contact Us
- Automotive | Sencury
AUTOMOTIVE DEFINE YOUR VEHICLE WITH SENCURY'S BUSINESS-DRIVEN SOFTWARE ENGINEERING APPROACH IN THE AUTOMOTIVE INDUSTRY The automotive industry is one of the most developed industries of today. Its innovative vehicles disrupt the world’s boldest expectations. Automotive software engineering revolves around engine control, advanced driver assistance systems, Car-to-X communication, comfort and media applications, networked mobility and more. WHAT WE OFFER? The automotive industry is constantly advancing and adapting to the new reality. Therefore, its standards become stricter, and the architecture of vehicles is becoming more complex. Also, the requirements for functional safety, security, and connectivity are to be strictly complied with. All of this is possible with the help of quality software engineering. To bring you more value, our services include: Autonomous driving and Advanced Driver-Assistance System (ADAS) Want to drive safely, more comfortably, and predictably? It becomes possible with Sencury's autonomous driving and advanced driver-assistance system engineering services. Your vehicle can become automated, adaptive, and reliable just with the right development team. There are particular levels of automation that can be achieved. For example: L0 NO AUTOMATION All the driving tasks are performed solely by the driver. L1 DRIVER ASSISTANCE The driver is the one driving the car, but there might be design-oriented features that assist the driver. L2 PARTIAL AUTOMATION The control of a car is combined by the driver and the vehicle. Even when the vehicle is able to perform automatic steering, acceleration, and braking in limited situations, it still requires the driver to be fully alert and with hands on the steering wheel. L3 CONDITIONAL AUTOMATION The vehicle can steer, accelerate, and brake according to the set conditions. However, the driver has to take over these tasks if the vehicle's automated system is unable to continue. The driver’s eyes should always watch the road. L4 HIGH AUTOMATION The vehicle’s automated system can drive the car solely. The driver can be a passenger and take over only with prior notice. Here, driving is optional for the human driver as well as watching the road. L5 FULL AUTOMATION The vehicle is capable of driving the car entirely. Humans are mostly passengers of such a vehicle. No human intervention is required as the automated driving system is operative in all environments and can be in charge of all the driving functions. DIGITAL COCKPIT (INFOTAINMENT) Your vehicle should be your intelligent digital companion. Thus, it becomes possible via the human-machine interface (HMI) solutions. Engage with your vehicle intuitively anytime and anywhere. We make a positive impact by developing requirement-driven Human Machine Interfaces, Automotive Embedded, and Navigation. CERTIFICATION AND COMPLIANCE FOR VEHICLES The software development requirements in the automotive industry are changeable. Therefore, automotive vendors have to comply with the introduction of innovative technologies, decrease the vehicle's environmental impact, promote safety, and support the efficiency of the manufacturing processes. To ensure, your automotive software engineering corresponds to the best industry practices, consider the following standards: Trusted Information Security Assessment Exchange (TISAX ) TISAX is a security data transfer standard that helps automotive companies reliably exchange data between auto manufacturers and consumers. Therefore, the standard impacts the security processes by monitoring possible threats and improving information security services. METHODOLOGIES WE USE Besides all the strict requirements in automotive software engineering, it is also important to consider the approach of developing software for different vehicles. Sencury works according to the two most common methodologies that take up automotive software development to a whole new level. The Scaled Agile Framework (SAFe) The Scaled Agile Framework (SAFe) suits perfectly lean enterprises. It allows for business agility in the automotive industry due to elements of lean, agile product development, and DevOps. One of the major advantages of SAFe is its high configuration. So, SAFe is the perfect structure for automotive product development. The framework gives us equal knowledge sharing. Therefore, Sencury can provide smooth collaboration across teams and stable quality delivery of software. SAFe best fits our business model, organization size, and project development structure. OUR TECHNOLOGIES Data Science and Machine Learning Blockchain Advanced Driver Assistance Systems (ADASs) Internet of Things (IoT) Fleet Management Advanced Data Analytics E-Government Registry Solutions Drones for Vehicle Inspection R and D leveraging AR and VR Telematics HOW CAN WE HELP? Enhance Driver Experience Boost Customer Engagement Maximize your Data Benefit from New Platform and OS Streamline Fleet Management Get ahead of the Self-Drive Curve BENEFITS YOU GET With Sencury’s dedication to the development process, best cross functional team communication and quality of delivery, you will be at an advantage with the newly released automotive software. Our industry experts provide: 1 Development of compelling features 2 Market advantage over competitors 3 Expert knowledge of automotive industry 4 Strong and diverse tech expertise WHY SENCURY? If you need good expertise in the automotive market, choose Sencury’s team. We provide solid technology consulting services with all the latest information about automotive industry trends and technology stacks. Sencury offers qualified consultants with strong automotive expertise, engineering skills, and a scientific background. We approach your needs with special attention to detail, analytical skills, and creativity. Therefore, our team offers you a business solution that will solve your current problems. Need to understand whether your automotive software will be viable among users? Contact us today and let’s create a strategy to get closer to your goal! LINKS ABOUT firstname.lastname@example.org SOCIAL Home Services Cooperation Models Competencies Blog Contact Us